Optimization of Machining Parameters in Drilling Ti–6Al–4V Using User’s Preference Rating-Based TOPSIS

Samsudeensadham, S.; Mohan, A.; ArunRamnath, R.; Thilak, R. Keshav

doi:10.1007/978-981-15-9809-8_34

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…A study on optimizing machining parameters in fiberreinforced particulate composites is a significant step forward, providing valuable insights for future particlereinforced polymer composite researches [16]. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Analytic Hierarchy Process (AHP) methods have been used to optimize process parameters for metal and nonmetal fibre composite materials [17][18][19][20]. A study investigates the optimization of reinforcement in greener composite materials for structural applications [21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Paul,

Thilagham,

K G

et al. 2024

Eng. Res. Express

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The boron carbide (B4C) reinforced AA5052-H32 aluminium composite has been initially fabricated by stir casting method. Friction stir welding (FSW) is used to join two similar AA5052-H32/B4C plates using a titanium nitride (TiN)-coated square tool. The tool wear loss, microhardness, and tensile strength of FSW joints have been investigated by the Taguchi technique. Welding parameters consist of TiN coating thickness, tool rotational speed, welding speed, and axial thrust. Taguchi analysis is used to determine the influences, contributions, and best values of welding parameters to meet optimal welding attributes. The maximum tensile strength (140.134 MPa) has been obtained by increasing the TiN coating thickness, tool's rotational speed, axial thrust, and welding speed. At the highest tool speed and axial trust, the maximum microhardness (158.3 HV) has been attained. The minimum tool wear loss (9.023 %) has been obtained by welding at a moderate speed with maximum rotational speed, axial thrust, and TiN coating thickness. Fractography and SEM analysis have been used to analyze the microstructural behaviour of welded aluminium composite materials and worn-out tool surfaces. The Additive Ratio Assessment (ARAS) multi-criteria optimization technique has been applied to predict the best welding parameters to attain the optimal welding characteristics. The 40 µm TiN coating thickness, 1200 rpm tool rotation, 20 mm/min welding speed, and 6000N axial force are predicted to achieve 108.6 MPa tensile strength, 110 HV microhardness, and 9.37% tool wear loss.

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Section: Introductionmentioning

confidence: 99%

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Paul,

Thilagham,

K G

et al. 2024

Eng. Res. Express

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show abstract

“…Therefore, grey based Taguchi method is the more effective method when multiple output responses are needed to be optimized simultaneously. In this method, multiple output responses are converted into a single output response using grey relation grade [10,[13][14][15]21]. The main advantage of grey based Taguchi method is to find the same significant parameter's level setting for multiple responses.…”

Section: Introductionmentioning

confidence: 99%

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

Linger

Bogale

2023

Eng. Res. Express

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Tungsten inert gas can be used to weld stainless steel due to its offering sound weld, narrow fusion zone, precise control weld’s shape and over penetration, spatter free, slagless, stable arc and low electrode wear. The goal of this study was to offer the best process parameters for improving the mechanical characteristics of the weld joint. The experimental analysis approach was applied in this work, and the experiment was carried out on 304L stainless steel using L16. The selected welding parameters were welding travel speed, current of welding, gas flow rate, arc length, and root gap. Rockwell hardness, tensile strength, and bending strength tests were the examined mechanical properties on the weld joint. Based on the grey based Taguchi method, the optimal level-settings of welding travel speed, current of welding, flow rate of gas, arc length, and root gap were obtained 2.7 mm s−1, 160 A, 14 l min−1, 3 mm, and 1 mm, respectively. The analysis result of ANOVA showed that the current has the greatest impact and it was followed by travel speed and root gap on weld joint quality with percentage contribution of 80.77%, 10.86%, and 5.98%, respectively. According to confirmation results, the average grey relational grade of 0.863 which was found between the confidence interval of 0.800 to 1.082 for the 95% confidence level, and the maximum Rockwell hardness, tensile strength and bending strength were obtained 101.38 HRB, 1425.8 MPa and 1648.6 MPa, respectively.

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“…ArunRamnath in his research investigations reviewed and experimentally investigated the machining performance of various composite materials for determination of suitable optimization technique and ideal machining parameter combinations with regard to the selection of ideal machining parameters in end milling epoxy granite composites. [42][43][44][45][46][47][48][49][50][51] With a similar research methodology, the results of static, dynamic and thermal characteristics of research investigations of 70 different machine tool structures are identified and summarized and further the design methodologies employed are analyzed with the objective of enhanced performance and functionality of machine tool structures. This review work performed provides a clear ideology on machine tool structures and aids researchers, scientists and metallurgists in development of machine tool structures by epoxy granite composites and other polymer concrete reinforced composites with the objective of minimization of thermal errors without any trade-off among static and dynamic properties.…”

Section: Introduction and Present Scenariomentioning

confidence: 99%

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

2023

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Machine tool structures produced with Epoxy Granite reinforced polymer composites (EGPCs) have gained prominence in recent years and have replaced conventional cast iron materials and other metals due to its remarkable damping characteristics. However, machine tool structures manufactured with EGPCs tends to exhibit limited strength, stiffness and stability. Such challenges in EGPCs are resolved by incorporation of steel as additional reinforcement and enhanced mechanical properties are observed in these hybrid machine‐tool structures. Hybrid epoxy granite machine tool structures with enhanced mechanical performance are prone to thermal errors resulting in machining inaccuracies and limited performance. Thermal errors induced in machine tool structures could be attributed due to effect of temperature distribution and displacements at the Tool Center Point (TCP). This review work carried out focuses predominantly on design methods adopted in resolving the challenges identified in development of machine tool structures and further analyses results of several polymer concrete‐based machine tool structures with regard to static, dynamic and thermal characteristics. Several review works conducted earlier have discussed the results of static and dynamic characteristics, whereas this review work provides additional information on thermal based errors induced and discusses the methods adopted in compensation of thermal errors. In this review paper, research studies pertaining to static and dynamic characteristics of different machine tool structures performed in last three decades have been discussed and a wholistic information is provided in relation with static, dynamic and thermal characteristics and properties toward developing a machine tool structure with a novel, newer class or alternative materials.

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Optimization of Machining Parameters in Drilling Ti–6Al–4V Using User’s Preference Rating-Based TOPSIS

Cited by 12 publications

References 10 publications

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

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Optimization of Machining Parameters in Drilling Ti–6Al–4V Using User’s Preference Rating-Based TOPSIS

Cited by 12 publications

References 10 publications

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B4C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B4C) using titanium nitride coated tool

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

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Product

Resources

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Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool

Multi-criteria optimization on friction stir welding of aluminum composite (AA5052-H32/B₄C) using titanium nitride coated tool